Sensors, IoT Technologies, Modeling, and Signal Processing for Monitoring Biophysical and Physiological Signals in Plants
A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Plant Modeling".
Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 2469
Special Issue Editors
Interests: signal processing; biosystems; plants; instrumentation
Special Issues, Collections and Topics in MDPI journals
Interests: thermography; plant characterization; greenhouse
Special Issue Information
Dear Colleagues,
Plants constantly face biotic and abiotic stresses which cause a reduction in yield and food availability worldwide. In order to face these threats, plants generate physiological and biophysical signals, which can measure if they are being affected and by how much in order to adopt an early and adequate management strategy or to measure the effect of stress treatments to increase defensive secondary metabolites; these signals, which are related to biochemical, enzymatic, and molecular activity, can be detected using suitable sensors that, in many cases, incorporate sophisticated technology that improves the precision of the measurements as well as the suitability, transmission, and analysis of data. Some physiological and biophysical signals present in plants include photosynthesis; transpiration; root, stem, and leaf temperature; chlorophyll fluorescence; visible symptomatology; vibration; sound; electricity; etc. These signals are often measured conjointly with data-processing techniques, using sensors of images, relative humidity, temperature, CO2, etc.
This Special Issue covers, but is not limited to, sensors and IoT technologies used to monitor such signals in plants, data-processing techniques, and modeling to relate biochemical, enzymatic, and molecular activities to biophysical and physiological signals.
Dr. Luis M. Contreras-Medina
Dr. Jose Alfredo Padilla-Medina
Dr. Enrique Rico-Garcia
Guest Editors
Manuscript Submission Information
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Keywords
- sensors
- IoT technology
- biophysical and physiological signals in plants
- signal processing
- modeling
- biochemical and molecular signals
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